CHUAN-PENG Hu's profile
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CHUAN-PENG HuORCID_LOGO

  • School of Psychology, Nanjing Normal University, Nanjing, China
  • Life Sciences, Social sciences
  • recommender

Recommendations:  0

Review:  1

Website huchuanpeng.com
Areas of expertise
Metascience and reproducibility. Self-bias in information processing. Evidence accumulation model. Bayesian Statistics. Cognitive Neuroscience

Review:  1

26 Feb 2024
STAGE 1

Lure of choice revisited: Replication and extensions Registered Report of Bown et al. (2003)

Replicating the "lure of choice" phenomenon

Recommended by based on reviews by Hu Chuan-Peng and Gakuto Chiba
The "lure of choice" refers to the idea that we prefer to preserve the option to choose even when the choice is not helpful. In a classic study cited hundred of times, Bown et al. (2003) reported evidence for the lure of choice from a series of studies involving choices between competing options of night clubs, bank savings accounts, casino spinners, and the Monty Hall door choice paradigm. In all cases, participants tended to prefer to choose an option when paired with a "lure", even when that lure was objectively inferior (e.g., same probability of winning but lower payoff).
 
The lure of choice phenomenon applies to a variety of real-life situations many of us often face in our daily lives, and Bown et al.’s findings have influenced the way organizations present choices to prospective users. Despite their theoretical and practical impact, Bown et al.'s findings have not previously been directly replicated, even as the importance of replication studies has become increasingly acknowledged (Nosek et al., 2022).
 
Here, Chan & Feldman (2024) outline a close replication of Bown et al. (2003) that will replicate and extend their original design. By unifying Bown et al.'s multiple studies into a single paradigm with which they will collect data from approximately 1,000 online participants via Prolific, they will have substantially greater statistical power than the original study to detect the predicted effects. They will follow LeBel et al.’s (2019) criteria for evaluating replicability, such that it will be considered a successful replication depending on how many of the 4 scenarios show a signal in the same direction as Bown et al.’s original results (at least 3 out of 4 scenarios = successful replication; no scenarios = failed replication; 1 or 2 scenarios = mixed results replication). They have also added additional controls including a neutral baseline choice without a lure, further ensuring the the validity and interpretability of their eventual findings.
 
One of the goals in creating Peer Community In Registered Reports (PCI RR) was to increase the availability of publishing venues for replication studies, and so PCI RR is well-suited to the proposed replication. Feldman’s lab has also pioneered the use of PCI RR for direct replications of previous studies (e.g., Zhu & Feldman, 2023), and the current submission uses an open-access template he developed (Feldman, 2023). This experience combined with PCI RR’s efficient scheduled review model meant that the current full Stage 1 protocol was able to go from initial submission, receive detailed peer review by two experts, and receive in-principle acceptance (IPA) for the revised submission, all in less than one month.
 
URL to the preregistered Stage 1 protocol: https://osf.io/8ug9m
 
Level of bias control achieved: Level 6. No part of the data or evidence that will be used to answer the research question yet exists and no part will be generated until after IPA.
 
List of eligible PCI RR-friendly journals:
 
 
References
 
Bown, N. J., Read, D. & Summers, B. (2003). The lure of choice. Journal of Behavioral Decision Making, 16(4), 297–308. https://doi.org/10.1002/bdm.447
 
Chan, A. N. Y. & Feldman, G. (2024). The lure of choice revisited: Replication and extensions Registered Report of Bown et al. (2003) [Stage 1]. In principle acceptance of Version 2 by Peer Community In Registered Reports. https://osf.io/8ug9m
 
Feldman, G. (2023). Registered Report Stage 1 manuscript template. https://doi.org/10.17605/OSF.IO/YQXTP
 
LeBel, E. P., Vanpaemel, W., Cheung, I. & Campbell, L. (2019). A brief guide to evaluate replications. Meta-Psychology, 3. https://doi.org/10.15626/MP.2018.843
 
Nosek, B. A., Hardwicke, T. E., Moshontz, H., Allard, A., Corker, K. S., Dreber, A., ... & Vazire, S. (2022). Replicability, robustness, and reproducibility in psychological science. Annual Review of Psychology, 73(1), 719-748. https://doi.org/10.1146/annurev-psych-020821-114157
 
Zhu, M. & Feldman, G. (2023). Revisiting the links between numeracy and decision making: Replication Registered Report of Peters et al. (2006) with an extension examining confidence. Collabra: Psychology, 9(1). https://doi.org/10.1525/collabra.77608
avatar

CHUAN-PENG HuORCID_LOGO

  • School of Psychology, Nanjing Normal University, Nanjing, China
  • Life Sciences, Social sciences
  • recommender

Recommendations:  0

Review:  1

Website huchuanpeng.com
Areas of expertise
Metascience and reproducibility. Self-bias in information processing. Evidence accumulation model. Bayesian Statistics. Cognitive Neuroscience